The landscape of design has been profoundly transformed particularly in realm 3D design. As industries increasingly embrace digital transformation, 3D designs not only how products are conceptualized and created but also redefine the roles of designers and engineers. This new paradigm introduces...

AI plays a significant role in enhancing solar cell performance and has implications for sustainability and renewable energy integration. Additionally, it investigates how ML & AI may be applied to optimize energy production, boost solar cell efficiency, and facilitate intelligent grid...

Copernicus data needs to be fit for legal applications to enhance its use in policymaking. Quality must be quantified and traceable to international standards. While various pixel-level quality indicators exist, only uncertainties provide the reliability required for legal context. This study...

This chapter will explore the development and implementation of AI-driven assistive technologies within specialized cloud computing infrastructures. It will discuss how cloud-based AI can support and enhance the capabilities of assistive devices, such as screen readers, voice recognition...

This research discovers the incorporation of AI-driven and automated processes into the Agile workflows to enhance efficiency with collaboration and project success rates. The experimental results indicate that AI-driven automation reduces the sprint planning time from over 10 to under 5 hours,...

"This book aims to provide a comprehensive systematic literature review that delves into how AI can drive innovative business models that enhance profitability and contribute to environmental sustainability"-- Provided by publisher

Artificial Intelligence (AI) is changing how businesses work by automating tasks, improving decision-making, and making operations more efficient. This chapter explains AI's role in business, including key technologies like machine learning, natural language processing, deep learning, and...

Background information: Probabilistic diagnosis engines, contextual medical embedding, and virtual health twins are few illustrations of how AI developments become the rout towards precision diagnostic accuracy in real time. These developments address accuracy, semantic understanding, and stable...